In this paper we propose an algorithm for the solution of optimalcontrol problems with nonlinear models based on a generalised Gauss-Newton algorithm but making use of analytic model derivatives. Themethod is implemented in WinSolve, a general nonlinear model solution program

Recent interest in 'Risk Management' has highlighted the relevance of Bayesian analysis for robust monetary-policy making. This paper sets out a comprehensive methodology for designing policy rules inspired by such considerations. We design rules that are robust with respect to model uncertainty...

We examine the linear-quadratic (LQ) approximation of non-linear stochastic dynamic optimization problems in macroeconomics, in particular for monetary policy. We make four main contributions: first, we draw attention to a general Hamiltonian framework for LQ approximation due to Magill (1977)....

Recent interest in "Risk Management"has highlighted the relevance of Bayesian analysis for robust monetary-policy making. This paper sets out a comprehensive methodology for designing policy rules inspired by such considerations. We design rules that are robust with respect to model uncertainty...

During the second half of the 1990s the US economy was characterised as the Goldilocks economy: not too hot, nor too cold, but just right. It was argued that this represented a new paradigm, enabling unemployment to remain low without igniting inflationary pressure. In this paper the evidence...

In this paper, the Kalman filter method is applied to UK Phillips-curve models and estimates are derived for the NAIRU from 1973 to 2000. The resulting profiles suggest that the NAIRU peaked around the mid-1980s and fell back thereafter. Structural changes in the labour market have reduced...

In this paper, the Kalman filter method is applied to UK Phillips-curve models and estimates are derived for the NAIRU from 1973 to 2000. The resulting profiles suggest that the NAIRU peaked around the mid-1980s and fell back thereafter. Structural changes in the labour market have reduced...